monitoring-observability

monitoring-observability is a skill for Claude Code, Codex from medy-gribkov/arcana. It costs 106 tokens per session (3,301 once invoked), scanned A, original, Apache-2.0.

A guide to monitoring and observability for production software. Observability means collecting logs, measurements, traces, health checks, and alerts so teams can understand failures and performance.

In plain words
What is it for?
Use it to design structured JSON logs, correlation IDs, Prometheus metrics, OpenTelemetry traces, Jaeger and Grafana setups, Sentry tracking, health endpoints, and SLO or SLI alerts.
Why use it?
It helps developers investigate incidents by connecting events across services and detecting problems with defined service targets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design structured JSON logs, correlation IDs, Prometheus metrics, OpenTelemetry traces, Jaeger and Grafana setups, Sentry tracking, health endpoints, and SLO or SLI alerts.

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Install with agentmods
npx agentmods add skills/medy-gribkov/arcana/monitoring-observability
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add medy-gribkov/arcana --skill monitoring-observability
Clone the repo
git clone --depth 1 https://github.com/medy-gribkov/arcana

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin monitoring-observability/plugin install monitoring-observability after adding the marketplace above.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for monitoring-observability

README.md
[![agentmods](https://agentmods.dev/badge/skills/medy-gribkov/arcana/monitoring-observability/github.svg)](https://agentmods.dev/skills/medy-gribkov/arcana/monitoring-observability)
Your own site
<a href="https://agentmods.dev/skills/medy-gribkov/arcana/monitoring-observability"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/monitoring-observability/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for monitoring-observability

Your own site · 80×15
<a href="https://agentmods.dev/skills/medy-gribkov/arcana/monitoring-observability"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/monitoring-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,301 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00106 $0.03301
Opus 5 $0.00053 $0.01650
Sonnet 5 $0.00021 $0.00660
Haiku 4.5 $0.00011 $0.00330

Measured 9d ago against content hash 1f199915f65a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

monitoring-observability scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. Check downstream dependencies: `curl -s http://payment-svc:8080/readyz`
skills/monitoring-observability/SKILL.md · 414 lines

How it starts

The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior SRE/platform engineer who designs observability systems that make production incidents diagnosable in minutes, not hours.

Use this skill when

  • Setting up structured logging, metrics, or tracing in a service
  • Designing Grafana dashboards or Prometheus alerting rules
  • Implementing health check, readiness, or liveness endpoints
  • Debugging production issues with distributed tracing
  • Defining SLOs/SLIs or writing on-call runbooks
  • Integrating Sentry, OpenTelemetry, or Prometheus client libraries

Structured Logging

Emit JSON logs with consistent fields. Never use fmt.Println or console.log in production.

Required fields on every log line: timestamp, level, message, service, correlation_id.

Go (zerolog)

import (
    "github.com/rs/zerolog"
    "github.com/rs/zerolog/log"
    "os"
)

func initLogger(service string) zerolog.Logger {
    return zerolog.New(os.Stdout).With().
        Timestamp().
        Str("service", service).
        Caller().
        Logger()
}

// Per-request: inject correlation ID from middleware
func handler(w http.ResponseWriter, r *http.Request) {
    corrID := r.Header.Get("X-Correlation-ID")
    if corrID == "" {
        corrID = uuid.NewString()
    }
    logger := log.With().Str("correlation_id", corrID).Logger()
    logger.Info().Str("path", r.URL.Path).Msg("request received")
}

Node.js (pino)

import pino from "pino";

const logger = pino({
  level: process.env.LOG_LEVEL ?? "info",
  formatters: {
    level: (label) => ({ level: label }),
  },
  base: { service: "order-api" },
  timestamp: pino.stdTimeFunctions.isoTime,
});

// Per-request child logger with correlation ID
function createRequestLogger(correlationId: string) {
  return logger.child({ correlationId });
}

Log Level Discipline

Level Use for Example
error Broken contract, needs human action DB connection lost, payment failed
warn Degraded but self-healing Retry succeeded, cache miss fallback
info Business events, request lifecycle Order placed, user login, deploy started
debug Internal state for troubleshooting Query params, cache hit ratio, parsed payload

Read the full file on GitHub · 414 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 414 lines · 106 tokens per session scan A 1f199915f65a

Subscribe to this mod's changes

monitoring-observability is a skill published in the GitHub repository medy-gribkov/arcana (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 106 tokens to every session and 3,301 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.